Diagnostic accuracy of classification models

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Description

Several functions for evaluating the accuracy of classification models. The package provides the following
performance measures: repeated k-fold cross-validation, 0.632 and 0.632+ bootstrap estimation of the
misclassification rate, sensitivity, specificity and AUC. If an application is computationally intensive,
parallel execution can be used to reduce the computational effort.